Sales Data Analyst

Job Description:

The Sales Data Analyst will work as part of the team dedicated to delivering reliable, accurate and up-to-date data to support Cloudera’s Global Field Organization. The Sales Data Analysts’s primary responsibility will be to analyze existing sales data and establish data quality standards, processes and pipelines. The Sales Data Analyst will also work with the Sales Data Architecture Manager and cross-functionally with leaders, subject matter experts, and data engineers to plan, design and implement robust and scalable analytical models to identify potential new customers, opportunities for expansion, and customer churn. 

RESPONSIBILITIES

• Analyse and understand the data needs to support Cloudera’s Global Field Organization 

• Closely work with the Sales Data Architecture Manager to design data schemas to model business entities and events and map out data flow

• Collaborate with cross-functional stakeholders from various departments (Sales, Marketing, Finance, Ops, etc.) to align with upstream and downstream data management policies, processes, and system requirements

• Work with data producers, owners, consumers, operators and perform data quality validations and design automated data pipelines to promote data standardization, validation, and enrichment

• Support the design, development, and execution of data governance, cataloguing and data security strategy

• Build data flows by optimizing the data query performance via best practices and perform proof-of-concepts independently and collaboratively 

• Establish data quality standards documentation and baseline metrics

• Build dashboards, reports, KPIs for data quality, monitoring, engagement, and accessibility  metrices

REQUIREMENTS

Minimum Qualifications

• B.S. or B.A. degree in Data Management/Analytics, Computer Science, Engineering or related field (M.A. or M.S. preferred)

• Minimum of 3+ years of industry experience

• Strong exposure with data warehouse design, development, and implementation

• Proficiency with SQL programming

• Experience developing with 1+ additional programming languages (e.g. Python, Java)

• Experience with ETL, data processing, and business intelligence

• Familiar with cloud, enterprise data platform, data lake and big data ecosystem concepts, terminology, and frameworks

• Understanding of data quality measurements, address data issues (correctness, completeness, accuracy)

• Experience with G-Suite or MS Office (word processing, spreadsheets, and presentations)

• Firm understanding of descriptive and inferential statistics

• Ability to adjust and set priorities to meet deadlines

• Strong verbal communication skills, including presentation skills

• Ability to work effectively in a professional manner 

• Strong customer service orientation

 Preferred or Desired Qualifications

• Advanced certification/qualification in Business Intelligence/Data Analytics

• Customer Relationship Management (e.g., Salesforce) and Master Data Management knowledge

• Relational and non-relational data modelling exposure in cloud environments

• Hands-on experience with Hadoop technologies such as Impala, Hive, Kafka, MapReduce, Spark

• Experience with data modeling or diagramming tools to develop data flow & structure diagrams

• Experience with Jira or other support ticket management systems

• Experience with modeling, analyzing and developing reporting capabilities for key metrics to support a software-as-a-service (SaaS) business is highly desirable

• Familiarity with Agile project management and development lifecycle processes